MNIST Digit Classifier Web App

This is a simple web application that uses a Convolutional Neural Network (CNN) model trained on the MNIST dataset to predict handwritten digits (0–9). The model is exported in ONNX format and deployed with Flask.

• In the following directory, open linux terminal.
• Install necessary libraries given in the "requirements.txt" file by running the command:

   pip install -r requirements.txt 

• After installing all the required libraries, run:

   python app.py 

• Click or copy the local host url something like "http://127.0.0.1:5000/" and paste on your browser and hit enter.

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Project Structure

 
mnist_flask_app/
│
├── app.py              ← Flask backend
├── mnist_cnn.onnx      ← exported ONNX model
├── samples_images/     ← Random 12 MNIST images
├── WebPage/
│   └── index.html      ← HTML for upload & prediction
├── utils.py            ← helper functions
├── requirements.txt    ← libraries needed
└── README.md           ← how to run the app